Amgen

Data Science Associate Director

Amgen

full-time

Posted on:

Origin:  • 🇺🇸 United States • California, Illinois

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Salary

💰 $182,167 - $219,985 per year

Job Level

Senior

Tech Stack

AzureCloudPythonSQLTableau

About the role

  • Lead and mentor BI Engineering Leads and their teams based in Portugal and India, fostering a culture of engineering excellence, accountability, and inclusion
  • Drive team performance using well-defined KPIs, SLAs, and delivery standards aligned to enterprise goals
  • Ensure seamless collaboration between global engineering teams and US-based business stakeholders
  • Oversee the design, development, and maintenance of scalable and secure BI solutions across multiple business domains
  • Implement modern development operations, including version control, automated testing, CI/CD pipelines, and monitoring for BI assets
  • Collaborate with teams to embed machine learning and AI-generated insights into dashboards and reporting workflows
  • Champion the adoption of emerging technologies (e.g., generative AI, LLMs, vector databases, natural language querying) to improve data access, storytelling, and user experience
  • Stay current with innovation trends in analytics and integrate applicable tools and frameworks into the BI ecosystem
  • Translate BI priorities and business goals into actionable, agile delivery plans for execution by offshore teams
  • Collaborate with Architecture, Platform Engineering, and Governance functions to ensure compliance, scalability, and technical alignment
  • Champion a product-oriented delivery model and agile methodology across offshore BI teams
  • Promote self-service BI through the development of governed, business-friendly data models and semantic layers
  • Drive process improvements and tooling enhancements to maximize development efficiency and business impact

Requirements

  • Doctorate degree and 3 years of data engineering, science and/or operations experience
  • Master’s degree and 5 years of data engineering, science and/or operations experience
  • Bachelor’s degree and 7 years of data engineering, science and/or operations experience
  • Associate’s degree and 12 years of data engineering, science and/or operations experience
  • High school diploma / GED and 14 years of data engineering, science and/or operations experience
  • Preferred: 8+ years of experience in data/BI engineering, data operations, or analytics delivery
  • Extensive experience with SQL, Python and similar programming languages
  • Understanding of best practices in data management, architecture and creating efficient data pipelines
  • Demonstrated success in leading offshore or globally distributed technical teams
  • Proficiency with BI platforms (Power BI, Tableau, Looker) and cloud-native data ecosystems (Snowflake, Databricks, Azure)
  • Experience implementing DevOps practices for BI: version control, CI/CD, monitoring, automation
  • Strong cross-functional communication and stakeholder engagement skills
  • Exposure to AI/ML integration into BI solutions or operationalizing AI outputs
  • Experience in biotechnology, pharmaceutical, or other regulated industry environments